exaone-unified-reasoning-language-model

Build unified LLMs supporting both fast standard inference and slow reasoning modes through hybrid attention and adaptive post-training. Combine non-reasoning and reasoning capabilities in a single model with 128K context windows and tool use. Use when you need models balancing speed and reasoning depth across diverse tasks and languages.

Independent GitHub snapshot · Automated classification · Original documentation governs